User Tools

Site Tools


home

Pedro A. Ortega

Research Scientist
Google DeepMind

About

I am a Research Scientist in the AI Safety Group at DeepMind. My research focuses on the formal principles of intelligent systems covering aspects such as learning, planning and decision making in both machines and biological organisms. My approach lies at the intersection between machine learning, computational neuroscience, theoretical economics, and physics.

This is Ludwig Boltzmann (no joke). Thanks Jordi!

Research Interests

Free Energy Functional (it's also meant to be a puzzling pic)

Most of my work centers on information-theoretic and statistical mechanical approaches to learning and control, leading to contributions in bounded rationality models and recasting adaptive control as a causal inference problem. I have also worked on causal induction, and on game- and decision-theoretic models in computational neuroscience.

To get a sense of my work, please refer to:

I was part of the former Tuebingen group on Sensorimotor Learning and Decision Making, where some of the now widespread ideas on Thompson sampling, causality, and thermodynamic methods for reinforcement learning have originated. Check out its members' sites:

Travel Schedule

Date Where Title
Nov 24, 2016 FHI, Oxford -
Dec 9, 2016 NIPS 2016, Barcelona Agency and Causality in Decision Making,
Dec 5-10, 2016 NIPS 2016, Barcelona Human Decision-Making under Limited Time
Jan 6-8, 2017 Pacific Grove, California Beneficial AI 2017

News (on Twitter)

Contact

Pedro A. Ortega
Google UK
DeepMind 6th Floor
6 Pancras Square
London N1C 4AG
U.K.

home.txt · Last modified: 2016/12/01 04:48 by peortega

Page Tools